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Li Zhiwei

Associate professor PhD

Department: College of Information Sciences and Technology

Fields:

Email: 2022500066@buct.edu.cn

Office

ORCID

DBLP

10 Visits

Introduction

Education

Work Experience

    Li Zhiwei, Associate Professor and Master's Supervisor. He completed his postdoctoral work at the School of Vehicle and Mobility, Tsinghua University in June 2020, engaging in research and development of intelligent unmanned mobile platforms such as autonomous vehicles and flying cars. In July 2022, he joined the School of Information Science and Technology at Beijing University of Chemical Technology, primarily focusing on research areas including fused perception for autonomous driving and vehicle-road-cloud coordination, embodied intelligent robots, and large vision-language models. He has published multiple papers in international journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Vehicular Technology, IEEE Transactions on Computational Social Systems, and Pattern Recognition; he holds over 20 authorized national invention patents and 7 authorized US invention patents. He is the head of the Heke Autonomous Driving Team at Beijing University of Chemical Technology and a member of the Intelligent Automation Professional Committee of the Chinese Association of Automation.

    Email: lizw@buct.edu.cn


Research

    Artificial Intelligence, Machine Vision, Autonomous Driving, Robot System Architecture

Teaching

Teaching

Postgraduates

Funding

Funding

Vertical Project

Horizontal Project

Publications

[1] Zhiwei Li; Xinyu Zhang*; Chi Tian; Xin Gao; Yan Gong; Jiani Wu; Guoying Zhang; Jun Li; Huaping Liu. TVG-ReID: Transformer-Based Vehicle-Graph Re-Identification, IEEE Transactions on Intelligent Vehicles, 2023, 14(8): 1-10.
[2] Xinyu Zhang; Zhiwei Li*; Zhenhong Zou; Xin Gao; Yijin Xiong; Dafeng Jin; Jun Li; Huaping Liu. Informative Data Selection With Uncertainty for Multimodal Object Detection, IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-13.
[3] Yan Gong; Jianli Lu; Wenzhuo Liu; Zhiwei Li*; Xinmin Jiang; Xin Gao; Xingang Wu. SIFDriveNet: Speed and Image Fusion for Driving Behavior Classification Network, IEEE Transactions on Computational Social Systems, 2023, 1-16.

Awards

Awards

Patent

Honor Reward

Admissions Information